Learning analytics: Building bridges between the Education and the Computing communities

Hosted by ITS 2018 – Half Day Workshop, June 11, 2018

 

The Learning Analytics (LA) and Educational Data Mining (EDM) fields have generated a wealth of research over the last decade, including two yearly conferences and two scientific journals. However, these topics are relatively new in the field of educational science. This workshop aims to bring together researchers and practitioners to share their perspective on how this research has impacted the education field.  Among the questions we wish to address is whether the two communities have a common perspective of the LA and EDM fields, and whether their expectations converge toward a common set of requirements.  We also would like to address the perceived contributions of LA/EDM to the Educational community and to the Technology Enhanced Learning field, including MOOCs and the range of applications that foster means of self-driven learning.

 

Schedule

Workshop presentation (9h00-9h05)

Sébastien Béland, Michel Desmarais & Nathalie Loye

 

Research papers on LA/EDM (9h05-10h15)

9h05-9h25: An enrollment admission strategy based on analytics data (Michel Desmarais)

9h25-9h50: Analyzing the relationships between learning analytics, educational data mining and AI for education (Hugues Labarthe, Vanda Luengo & François Bouchet)

9h50-10h15: A performance predictor for honors students based on Elman neural network (Moke Xu, Xuyang Chen & Wenjun Wu)

 

Applications of LA/EDM (10h15-11h00)

10h15-10h40: Learning analytics as applied to institutional program evaluation: demo of Program Anayltics Web App

10h40-11h00: Learning analytics as applied to supporting higher order formative assessments: demo of myDALITE

 

Round table on gaming and educational theory (11h00-12h00)

11h00-11h15: Putting the ‘Game’ at the centre of educational games: Implications for both research and development (Adam Dubé)

11h15-11h30: Limits and promises: effects of the Assassin’s Creed Discovery Tour on history learning (Marc-André Éthier, David Lefrançois & Catherine Déry)

11h30-12h00 : Questions

 

How to submit a proposition? (closed)

The propositions are expected to present a position statement about the idea of building bridges between the education and the computing communities. The aim of a proposition is to generate discussions and new ideas.

Every proposition has to be (i) completely original, (ii) presented in a word or pdf format document that does not exceed 8 pages, (iii) written in acceptable English and (iv) formatted to the LNCS formatting guidelines:

http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

After a review process, the accepted proposition will be published in CEUR (http://ceur-ws.org/). The interested participants are please to submit a proposition at:

https://easychair.org/conferences/?conf=labbec2018

 

Important dates

Paper submission: April 9, 2018

Acceptance notification: April 30, 2018

Camera ready: May 12, 2018

Workshop: June 11, 2018

 

Organizers

All the organizers are members of the GRIÉMÉtic, a research group specialized in educational measurement using information technologies:

http://griemetic.ca/

Sébastien Béland is a young professor at Université de Montréal, connected with the international community of researchers in psychometrics. Michel Desmarais is professor at Polytechnique Montreal, associate editor of the Journal of Educational Data Mining, founding member of the EDM Society. Finally, Nathalie Loye is professor at Université de Montréal and the head of GRIÉMÉtic and editor of the journal “Mesure et évaluation en éducation”.